US20160171306A1

Movatterモバイル変換

Info

Publication number: US20160171306A1
Application number: US15/048,011
Authority: US
Inventors: Matthew A. Calman; Erik Stephen Ross; Alfred Hamilton
Original assignee: Bank of America Corp
Current assignee: Bank of America Corp
Priority date: 2011-03-08
Filing date: 2016-02-19
Publication date: 2016-06-16
Also published as: US10268891B2; US20160117750A1; US20120233025A1; US10268890B2; US9224166B2

Abstract

A system for accessing product information from embedded sensors via mobile device video analysis is disclosed. The system includes a processing device configured for analyzing a video stream of the surrounding environment captured on a mobile device. At least one product that has one or more embedded sensors associated therewith is identified within the surrounding environment. The system retrieves information associated with the one or more products from the one or more embedded sensors. Information retrieved, or information derived from the information retrieved, from the embedded sensors is presented to the user via a display of the video stream on the mobile device.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 14/981,429, filed Dec. 28, 2015, which, in turn, is a continuation of U.S. patent application Ser. No. 13/342,053 of the same title, filed on Jan. 1, 2012, which, in turn, claims priority to U.S. Provisional Patent Application Ser. No. 61/450,213, filed Mar. 8, 2011, entitled “Real-Time Video Image Analysis Applications for Commerce Activity,” and U.S. Provisional Patent Application Ser. No. 61/478,411, filed Apr. 22, 2011, entitled “Retrieving Product Information From Embedded Sensors Via Mobile Device Video Analysis,” the entirety of each of which is incorporated herein by reference.

BACKGROUND

Modern handheld mobile devices, such as smart phones or the like, combine multiple technologies to provide the user with a vast array of capabilities. For example, many smart phones are equipped with significant processing power, sophisticated multi-tasking operating systems, and high-bandwidth Internet connection capabilities. Moreover, such devices often have additional hardware and/or software that provide features and functionality that are becoming increasingly more common and standardized. Such features and functionality include, but are not limited to, location-determining functionality, such as Global Positioning System (GPS) functionality; hardware and/or software for sensing operational conditions of the devices or even the ambient conditions in which the devices are located, such as accelerometers and high-resolution video cameras.

As the hardware capabilities of such mobile devices have increased, so too have the software applications that control and operate the hardware. One such example of innovative software is a category known as augmented reality (AR), or more generally referred to as mediated reality.

Previous application platforms analyze location data and compass direction data in combination with information related to the objects, locations or other elements shown in the video stream to create browse-able “hot-spots” or “tags” that are superimposed on the mobile device display, resulting in an experience described as “reality browsing”.

However, previous application platforms strictly utilize GPS and compass data in order to create the “reality browsing.” They are incapable of actually identifying objects within a video stream. Furthermore, they are unable to retrieve and present data from, for example, a sensor that may be embedded in a consumer product.

Therefore, a need exists to implement video analysis and present it to the user as AR or the like, to assist the user of mobile devices with accessing product information from embedded sensors.

SUMMARY OF INVENTION

The following presents a summary of certain embodiments of the present invention. This summary is not intended to be a comprehensive overview of all contemplated embodiments, and is not intended to identify all key or critical elements of all embodiments nor delineate the scope of any or all embodiments. Its sole purpose is to present certain concepts and elements of one or more embodiments in a summary form as a prelude to the more detailed description that follows.

Methods, apparatuses, systems and computer program products are described herein that provide for using video analysis to process video streams and, more specifically, to access product information from embedded sensors and present information associated with the product to the user, which information may be presented via AR or the like. The information presented may be information retrieved or obtained from the embedded sensors or it may be information compiled using the information retrieved or obtained from the embedded sensors. The methods, apparatuses, systems, and computer program products may additionally provide for alerting the user to important or critical information associated with one or more products. In one embodiment, the user is presented with information pertaining to, and/or alerted to, important or critical product information, such as the depletion or expiration of a product that requires replacement or will require replacement in the near future or a requirement to obtain service for the product. In one embodiment, the embedded sensors may provide information necessary or beneficial in order to present desired information to the user. In another embodiment, through the use of vision object recognition, objects, logos, artwork, products, locations and other features of a product (referred to herein as attributes) that can be recognized from the surrounding environment represented in the video stream and that can be identified and matched to stored data or data that can be accessed in real-time (collectively, “preexisting data”) in order to identify a product or information pertaining to the product or the user. In one embodiment, the preexisting data may comprise customer financial behavior history, customer credit score, customer purchase power/transaction history, wish lists, shopping lists, to do/task list, vendor information (contact information, account information, payment requirements and acceptable forms of payment, etc.), information regarding products and services (e.g., costs, availability, etc.), and/or other financial information concerning the customer. In this regard, embodiments of the present invention leverage institutional or proprietary financial data that is uniquely specific to a particular financial institution to provide information to users in connection with the video stream analysis.

To accomplish the foregoing and related objectives, the embodiments of the present invention comprise the function and features hereinafter described. The following description and the referenced figures set forth a detailed description of the present invention, including certain illustrative examples of the one or more embodiments. The functions and features described herein are indicative, however, of but a few of the various ways in which the principles of the present invention may be implemented and used and, thus, this description is intended to include all such embodiments and their equivalents.

In one embodiment of the present invention, a method is disclosed for accessing product information from embedded sensors. The method includes analyzing, via a processing device, a video stream representing the surrounding environment captured on a mobile device. The method further includes identifying one or more products within the video stream that has one or more embedded sensors associated therewith. Additionally, the method includes retrieving information associated with the one or more products from the one or more embedded sensors. Finally, the method includes presenting, via a display of the video stream on the mobile device, the information retrieved or obtained, or information derived from the information retrieved or obtained, from the one or more embedded sensors.

In one embodiment of the method, the mobile device is a mobile phone.

In one embodiment of the method, the mobile device includes a camera capable of image and/or video capture.

In one embodiment of the method, the one or more embedded sensors emit a radio frequency signal. In yet other embodiments of the method, the one or more embedded tags emit another wave frequencies, such as infrared or X-ray.

Additionally, in one embodiment of the method, the mobile device is operated in the “always on” mode to continuously analyze the surrounding environment.

In one embodiment of the method, the information presented is displayed as a virtual object overlaying a real-time video stream of the surrounding environment. In one embodiment, the virtual object is interactive.

In still another embodiment, the method further includes alerting the user to important or critical information associated with one or more products. Alerting the user may be accomplished by producing an audible sound, vibration, generating a Short Message Service or text message, generating an email, or combinations thereof. The important or critical information may include information regarding a product default or an impending product default. In one embodiment, the product default is the depletion or expiration of the product requiring replacement. In another embodiment, the product default is a mechanical default requiring maintenance or repair services.

In one embodiment of the method, the one or more products is a food product. In another embodiment, the one or more products is a household item such as a household appliance, vehicle, monitoring systems, sensors in the handsets broadcasting the user's location for other friends to observe and/or discover.

In one embodiment, the method further includes presenting the user with an option to purchase the one or more products via the mobile device. In another embodiment, the method further includes transmitting payment information via a wireless connection between the mobile device and a contactless payment terminal to purchase a product.

In one embodiment, the method further includes transmitting financial data and/or other user-specific data to a financial institution.

In another embodiment of the present invention, a system for accessing product information from embedded sensors is disclosed. The system includes a processing device configured for analyzing a video stream representing the surrounding environment captured on a mobile device. The processing device is further configured for identifying one or more products within the video stream that has one or more embedded sensors associated therewith. Additionally, the processing device includes retrieving or obtaining information associated with the one or more products from the one or more embedded sensors. Finally, the processing device is further configured for presenting, via a display of the video stream on the mobile device, the information retrieved or obtained from the one or more embedded sensors.

In one embodiment of the system, the mobile device is a mobile phone.

In one embodiment of the system, the mobile device includes a camera capable of image and/or video capture.

In one embodiment of the system, the one or more embedded sensors emit a radio frequency signal.

Additionally, in one embodiment of the system, the mobile device is operated in the “always on” mode to continuously analyze the surrounding environment.

In one embodiment of the system, the information presented is displayed as a virtual object overlaying a real-time video stream of the surrounding environment. In some such embodiments, the virtual object is interactive.

In still another embodiment, the system further includes alerting the user to important or critical information associated with one or more products. Alerting the user may be accomplished by producing an audible sound, vibration, generating a Short Message Service or text message, generating an email, phone message, or combinations thereof. The important or critical information may include information regarding a product default or an impending product default. In one embodiment of the system, the product default is the depletion or expiration of the product requiring replacement. In another embodiment of the system, the product default is a mechanical default requiring maintenance.

In one embodiment of the system, the one or more products is a food product. In another embodiment, the one or more products is a household item such as a household appliance.

Furthermore, in one embodiment, the system further includes presenting the user with an option to purchase the one or more products via the mobile device. In still a further embodiment, the system further includes transmitting payment information via a wireless connection between the mobile device and a contactless payment terminal to purchase a product.

In another embodiment of the present invention, a computer program product for accessing product information from embedded sensors includes a non-transitory computer readable medium including one or more computer-readable code portions configured for analyzing a video stream of the surrounding environment captured on a mobile device. The one or more computer-readable code portions are further configured for identifying one or more products within the video stream that has one or more embedded sensors. Additionally, the one or more computer-readable code portions are further configured to retrieve or obtain information associated with the one or more products from the one or more embedded sensors. Finally, the one or more computer-readable code portions are further configured to present, via a display of the video stream on the mobile device, the information retrieved, or information derived from the information retrieved, from the one or more embedded sensors.

In one embodiment of the computer program product, the mobile device is a mobile phone.

In one embodiment of the computer program product, the mobile device includes a camera capable of image and/or video capture.

In one embodiment of the computer program product, the one or more embedded sensors emit a radio frequency signal or other light signal.

Additionally, in one embodiment of the computer program product, the mobile device is operated in the “always on” mode to continuously analyze the surrounding environment.

In one embodiment of the computer program product, the information presented is displayed as a virtual object overlaying a real-time video stream of the surrounding environment. In one embodiment, the virtual object is interactive.

In still another embodiment of computer program product, one or more computer-readable code portions are further configured for alerting the user to important or critical information associated with one or more products. Alerting the user may be accomplished by producing an audible sound, vibration, generating a Short Message Service or text message, generating an email, or combinations thereof. The important or critical information may include information regarding a product default or an impending product default. In one embodiment of the computer program product, the product default is the depletion or expiration of the product requiring replacement. In another embodiment of the system, the product default is a mechanical default requiring maintenance or repair services.

In one embodiment of the computer program product, the one or more products is a food product. In another embodiment, the one or more products is a household item such as a household appliance.

In one embodiment of the computer program product, the one or more computer-readable code portions if further configured to present the user with an option to purchase the one or more products via the mobile device. In still a further embodiment, the system further includes transmitting payment information via a wireless connection between the mobile device and a contactless payment terminal to purchase a product.

BRIEF DESCRIPTION OF THE DRAWINGS

Having thus described embodiments of the invention in general terms, reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:

FIG. 1 is a block diagram illustrating a mobile device, in accordance with an embodiment of the invention;

FIG. 2 is a block diagram illustrating an AR environment, in accordance with an embodiment of the invention;

FIG. 3 is a block diagram illustrating a mobile device, in accordance with an embodiment of the invention;

FIG. 4 is a flow diagram illustrating a method for accessing product information from embedded sensors, in accordance with an embodiment of the invention;

FIG. 5 is a mixed block and flow diagram illustrating a system for accessing product information from embedded sensors, in accordance with an embodiment of the invention;

FIG. 6 is a block diagram illustrating a contactless payment environment, in accordance with an embodiment of the invention;

FIG. 7 is a block diagram illustrating the contactless payment terminal ofFIG. 6, in accordance with an embodiment of the invention; and

FIG. 8 illustrates a mobile wallet, in accordance with an embodiment of the invention.

DETAILED DESCRIPTION OF EMBODIMENTS OF THE INVENTION

Embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all, embodiments of the invention are shown. Indeed, the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident; however, that such embodiment(s) may be practiced without these specific details. Like numbers refer to like elements throughout.

Various embodiments or features will be presented in terms of systems that may include a number of devices, components, modules, and the like. It is to be understood and appreciated that the various systems may include additional devices, components, modules, etc. and/or may not include all of the devices, components, modules etc. discussed in connection with the figures. A combination of these approaches may also be used.

The steps and/or actions of a method or algorithm described in connection with the embodiments disclosed herein are directed to sensors associated with the product. A sensor may sense or read a product status. In this way, a sensor may be any type of sensory device, including but not limited to a tag, RFID-chip, radio signal emitter, or marker embedded in a customer product that may provide an indication as to the status of a product. The status of a product may include the amount of the product used by the customer. For example, the status of a milk jug may be an indication as to how much milk is remaining in a container of milk stored in the customer's refrigerator. In some embodiments, the terms sensor or sensors are intended to refer to a sensor working in conjunction with one or more other devices. For example, in some embodiments, one or more tags are disposed in, on or proximate a product or other object and a sensor remote from tag reads the tag.

The steps and/or actions of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in one or more software modules (also referred to herein as computer-readable code portions) executed by a processor or processing device and configured for performing certain functions, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of non-transitory storage medium known in the art. An exemplary storage medium may be coupled to the processing device, such that the processing device can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processing device. Further, in some embodiments, the processing device and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In the alternative, the processing device and the storage medium may reside as discrete components in a computing device. Additionally, in some embodiments, the events and/or actions of a method or algorithm may reside as one or any combination or set of codes or code portions and/or instructions on a machine-readable medium and/or computer-readable medium, which may be incorporated into a computer program product.

In one or more embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored or transmitted as one or more instructions, code, or code portions on a computer-readable medium. Computer-readable media includes both non-transitory computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage medium may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures, and that can be accessed by a computer. Also, any connection may be termed a computer-readable medium. For example, if software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. “Disk” and “disc”, as used herein, include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs usually reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

In accordance with embodiments of the invention, the term “financial institution” refers to any organization in the business of moving, investing, or lending money, dealing in financial instruments, or providing financial services. This includes commercial banks, thrifts, federal and state savings banks, savings and loan associations, credit unions, investment companies, merchants, insurance companies and the like.

Thus, methods, systems, computer programs and the like are herein disclosed that provide for using video analysis to process video streams and, more specifically, to access product information from embedded sensors and present information associated with the product to the user, which information may be presented via AR or the like. The methods, apparatus, systems, and computer program products may additionally provide for alerting the user to important or critical information associated with one or more products. In one embodiment, the user is presented with information pertaining to, and/or alerted to, important or critical product information, such as the depletion or expiration of a product that requires replacement or will require replacement in the near future. In one embodiment, the embedded sensors may provide all of the necessary information in order to present desired information to the user. However, in another embodiment, through the use of vision object recognition, objects, logos, artwork, products, locations and other features of a product (referred to herein as attributes) that can be recognized from the surrounding environment represented in the video stream can be identified and matched to stored data or data that can be accessed in real-time (collectively, “preexisting data”). In one embodiment, the preexisting data is specific to one or more financial institutions. For example, the preexisting data may comprise customer financial behavior history, customer credit score, customer purchase power/transaction history, vendor information (contact information, account information, payment requirements and acceptable forms of payment, etc.), information regarding products and services (e.g., costs, availability, etc.), and/or other financial information concerning the customer. In this regard, embodiments of the present invention leverage institutional or proprietary financial data that is uniquely specific to a particular financial institution to provide information to users in connection with the video stream analysis.

While embodiments discussed herein are generally described with respect to “video streams” or “real-time video” it will be appreciated that the video stream may be captured and stored for later viewing and analysis. Indeed, in some embodiments video is recorded and stored on a mobile device and portions or the entirety of the video may be analyzed at a later time. The later analysis may be conducted on the mobile device or loaded onto a different device for analysis. The portions of the video that may be stored and analyzed may range from a single frame of video (e.g., a screenshot) to the entirety of the video. Additionally, rather than video, the user may opt to take a still picture of the environment to be analyzed immediately or at a later time. Thus, embodiments in which real-time video, recorded video or still pictures are analyzed are contemplated herein.

FIG. 1 illustrates an embodiment of amobile device100 that may be configured to execute object recognition and Augmented Reality (AR) functionality, in accordance with specific embodiments of the present invention. A “mobile device”100 may be any mobile communication device, such as a cellular telecommunications device (i.e., a cell phone or mobile phone), personal digital assistant (PDA), a mobile Internet accessing device, or other mobile device including, but not limited to portable digital assistants (PDAs), pagers, mobile televisions, gaming devices, laptop computers, cameras, video recorders, audio/video player, radio, GPS devices, any combination of the aforementioned, or the like.

Themobile device100 may generally include aprocessor110 communicably coupled to such devices as amemory120, user output devices136,user input devices140, anetwork interface160, apower source115, a clock orother timer150, animage capture device170, a positioning system device175 (e.g., a Global Positioning System (GPS) device), one or moreintegrated circuits180, etc.

Theprocessor110, and other processors described herein, may generally include circuitry for implementing communication and/or logic functions of themobile device100. For example, theprocessor110 may include a digital signal processor device, a microprocessor device, and various analog to digital converters, digital to analog converters, and/or other support circuits. Control and signal processing functions of themobile device100 may be allocated between these devices according to their respective capabilities. Theprocessor110 thus may also include the functionality to encode and interleave messages and data prior to modulation and transmission. Theprocessor110 may additionally include an internal data modem. Further, theprocessor110 may include functionality to operate one or more software programs or applications, which may be stored in thememory120. For example, theprocessor110 may be capable of operating a connectivity program, such as aweb browser application122. Theweb browser application122 may then allow themobile device100 to transmit and receive web content, such as, for example, location-based content and/or other web page content, according to a Wireless Application Protocol (WAP), Hypertext Transfer Protocol (HTTP), and/or the like.

Theprocessor110 may also be capable of operating applications, such as anobject recognition application125. The object recognition application14 may be downloaded from a server and stored in thememory120 of themobile device100. Alternatively, theobject recognition application125 may be pre-installed and stored in a memory in theintegrated circuit180. In such an embodiment, the user may not need to download theobject recognition application125 from a server. In some embodiments, theprocessor110 may also be capable of operating one or more applications, such as one or more applications functioning as an artificial intelligence (“AI”) engine. Theprocessor110 may recognize objects that it has identified in prior uses by way of the AI engine. In this way, theprocessor110 may recognize specific objects and/or classes of objects, and store information related to the recognized objects in one or more memories and/or databases discussed herein. Once the AI engine has thereby “learned” of an object and/or class of objects, the AI engine may run concurrently with and/or collaborate with other modules or applications described herein to perform the various steps of the methods discussed. For example, in some embodiments, the AI engine recognizes an object that has been recognized before and stored by the AI engine. The AI engine may then communicate to another application or module of the mobile device and/or server, an indication that the object may be the same object previously recognized. In this regard, the AI engine may provide a baseline or starting point from which to determine the nature of the object. In other embodiments, the AI engine's recognition of an object is accepted as the final recognition of the object.

Theintegrated circuit180 may include the necessary circuitry to provide the object recognition functionality to themobile device100. Generally, theintegrated circuit180 will includedata storage171 which may include data associated with the objects within a video stream that theobject recognition application125 identifies as having a certain marker(s) (discussed in relation toFIG. 2). Theintegrated circuit180 and/ordata storage171 may be an integrated circuit, a microprocessor, a system-on-a-integrated circuit, a microcontroller, or the like. As discussed above, in one embodiment, theintegrated circuit180 may provide the functionality to themobile device100.

Of note, whileFIG. 1 illustrates theintegrated circuit180 as a separate and distinct element within themobile device100, it will be apparent to those skilled in the art that the object recognition functionality ofintegrated circuit180 may be incorporated within other elements in themobile device100. For instance, the functionality of theintegrated circuit180 may be incorporated within themobile device memory120 and/orprocessor110. In a particular embodiment, the functionality of theintegrated circuit180 is incorporated in an element within themobile device100 that provides object recognition capabilities to themobile device100. Still further, theintegrated circuit180 functionality may be included in a removable storage device such as an SD card or the like.

Theprocessor110 may be configured to use thenetwork interface160 to communicate with one or more other devices on a network. In this regard, thenetwork interface160 may include anantenna176 operatively coupled to atransmitter174 and a receiver172 (together a “transceiver”). Theprocessor110 may be configured to provide signals to and receive signals from thetransmitter174 andreceiver172, respectively. The signals may include signaling information in accordance with the air interface standard of the applicable cellular system of the wireless telephone network that may be part of the network. In this regard, themobile device100 may be configured to operate with one or more air interface standards, communication protocols, modulation types, and access types. By way of illustration, themobile device100 may be configured to operate in accordance with any of a number of first, second, third, and/or fourth-generation communication protocols and/or the like. For example, themobile device100 may be configured to operate in accordance with second-generation (2G) wireless communication protocols IS-136 (time division multiple access (TDMA)), GSM (global system for mobile communication), and/or IS-95 (code division multiple access (CDMA)), or with third-generation (3G) wireless communication protocols, such as Universal Mobile Telecommunications System (UMTS), CDMA2000, wideband CDMA (WCDMA) and/or time division-synchronous CDMA (TD-SCDMA), with fourth-generation (4G) wireless communication protocols, and/or the like. Themobile device100 may also be configured to operate in accordance with non-cellular communication mechanisms, such as via a wireless local area network (WLAN) or other communication/data networks.

Thenetwork interface160 may also include an object recognition interface173 in order to allow a user to execute some or all of the above-described processes with respect to theobject recognition application125 and/or theintegrated circuit180. The object recognition interface173 may have access to the hardware, e.g., the transceiver, and software previously described with respect to thenetwork interface160. Furthermore, the object recognition interface173 may have the ability to connect to and communicate with an external data storage on a separate system within the network as a means of recognizing the object(s) in the video stream.

As described above, themobile device100 may have a user interface that includes user output devices136 and/oruser input devices140. The user output devices136 may include a display130 (e.g., a liquid crystal display (LCD) or the like) and aspeaker132 or other audio device, which are operatively coupled to theprocessor110. Theuser input devices140, which may allow themobile device100 to receive data from a user, may include any of a number of devices allowing themobile device100 to receive data from a user, such as a keypad, keyboard, touch-screen, touchpad, microphone, mouse, joystick, other pointer device, button, soft key, and/or other input device(s).

Themobile device100 may further include apower source115. Generally, thepower source115 is a device that supplies electrical energy to an electrical load. In one embodiment,power source115 may convert a form of energy such as solar energy, chemical energy, mechanical energy, etc. to electrical energy. Generally, thepower source115 in amobile device100 may be a battery, such as a lithium battery, a nickel-metal hydride battery, or the like, that is used for powering various circuits, e.g., the transceiver circuit, and other devices that are used to operate themobile device100. Alternatively, thepower source115 may be a power adapter that can connect a power supply from a power outlet to themobile device100. In such embodiments, a power adapter may be classified as a power source “in” the mobile device.

Themobile device100 may also include amemory120 operatively coupled to theprocessor110. As used herein, memory may include any computer readable medium configured to store data, code, or other information. Thememory120 may include volatile memory, such as volatile Random Access Memory (RAM) including a cache area for the temporary storage of data. Thememory120 may also include non-volatile memory, which can be embedded and/or may be removable. The non-volatile memory may additionally or alternatively include an electrically erasable programmable read-only memory (EEPROM), flash memory or the like.

Thememory120 may store any of a number of applications or programs which comprise computer-executable instructions/code executed by theprocessor110 to implement the functions of themobile device100 described herein. For example, thememory120 may include such applications as anobject recognition application125, an augmented reality (AR) presentation application121 (described infra. in relation toFIG. 3), aweb browser application122, a Short Message Service (SMS)application123, an electronic mail (i.e., email)application124, etc.

Referring toFIG. 2, a block diagram illustrating anobject recognition experience200 in which auser210 utilizes amobile device100 to capture a video stream that includes anenvironment250 is shown. As denoted earlier, themobile device100 may be any mobile communication device. Themobile device100 has the capability of capturing a video stream of the surroundingenvironment250. The video capture may be by any means known in the art. In one particular embodiment, themobile device100 is a mobile telephone equipped with animage capture device170 capable of video capture.

Theenvironment250 contains a number ofobjects220. Some ofsuch objects220 may include amarker230 identifiable to an object recognition application that is either executed on themobile device100 or within the wireless network. Amarker230 may be any type of marker that is a distinguishing feature that can be interpreted by the object recognition application to identifyspecific objects220. For instance, amarker230 may be alpha-numeric characters, symbols, logos, shapes, ratio of size of one feature to another feature, a product identifying code such as a bar code, electromagnetic radiation such as radio waves (e.g., radio frequency identification (RFID)), architectural features, color, etc. In some embodiments, themarker230 may be audio and themobile device100 may be capable of utilizing audio recognition to identify words or unique sounds broadcast. Themarker230 may be any size, shape, etc. Indeed, in some embodiments, themarker230 may be very small relative to theobject220 such as the alpha-numeric characters that identify the name or model of anobject220, whereas, in other embodiments, themarker230 is theentire object220 such as the unique shape, size, structure, etc.

In some embodiments, themarker230 is not actually a physical marker located on or being broadcast by the object. For instance, themarker230 may be some type of identifiable feature that is an indication that theobject220 is nearby (e.g., a tag or placard near the object). In some embodiments, themarker230 for anobject220 may actually be themarker230 for adifferent object220. For example, themobile device100 may recognize a particular building as being “Building A.” Data stored in the object recognition data storage may indicate that “Building B” is located directly to the east and next to “Building A.” Thus,markers230 for anobject220 that are not located on or being broadcast by theobject220 are generally based on fixed facts about the object220 (e.g., “Building B” is next to “Building A”). However, it is not a requirement that such amarker230 be such a fixed fact. Themarker230 may be anything that enables themobile device100 to interpret to a desired confidence level what the object is. For another example, themobile device100 may identify a particular person as a first character from a popular show, and thereafter utilize the information that the first character is nearby features of other characters to interpret that a second character, a third character, etc. are nearby, whereas without the identification of the first character, the features of the second and third characters may not have been used to identify the second and third characters. This example may also be applied to objects outside of people.

Themarker230 may also be or include social network data, such as data retrieved or communicated from the Internet, such as tweets, blog posts, social media posts, various types of messages and/or the like. In other embodiments, themarker230 is provided in addition to social network data as mentioned above. For example, themobile device100 may capture a video stream and/or one or more still shots including a large gathering of people. In this example, as above, one or more people dressed as characters in costumes may be present at a specified location. Themobile device100, objectrecognition application121, and/or theAR presentation application125 may identify several social network indicators, such as posts, blogs, tweets, messages, and/or the like indicating the presence of one or more of the characters at the specified location. In this way, themobile device100 and associated applications may communicate information regarding the social media communications to the user and/or use the information regarding the social media communications in conjunction with other methods of object recognition. For example, themobile device100

object recognition application

121, and/or theAR presentation application125 performing recognition of the characters at the specified location may confirm that the characters being identified are in fact the correct characters based on the retrieved social media communications. This example may also be applied objects outside of people.

In some embodiments, themobile device100 and/or server access one or more other servers, social media networks, applications and/or the like in order to retrieve and/or search for information useful in performing an object recognition. In some embodiments, themobile device100 and/or server accesses another application by way of an application programming interface or API. In this regard, themobile device100 and/or server may quickly search and/or retrieve information from the other program without requiring additional authentication steps or other gateway steps.

WhileFIG. 2 illustrates that theobjects220 withmarkers230 only include asingle marker230, it will be appreciated that theobject220 may have any number ofmarkers230 with each equally capable of identifying theobject220. Similarly, multiple markers66 may be identified by themobile device100 and associated applications such that the combination of themarkers230 may be utilized to identify theobject220. For example, themobile device100 may utilizefacial recognition markers230 to identify a person and/or utilize aseparate marker230, such as the clothes the person is wearing to confirm the identification to the desired confidence level that the person is in fact the person the mobile device identified. For example, the facial recognition may identify a person as a famous athlete, and thereafter utilize the uniform the person is wearing to confirm that it is in fact the famous athlete.

In some embodiments, amarker230 may be the location of theobject220. In such embodiments, themobile device100 may utilize Global Positioning System (GPS) hardware and/or software or some other location determining mechanism to determine the location of theuser210 and/orobject220. As noted above, a location-basedmarker230 could be utilized in conjunction with other non-location-basedmarkers230 identifiable and recognized by themobile device100 to identify theobject220. However, in some embodiments, a location-based marker may be theonly marker230. For instance, in such embodiments, themobile device100 may utilize GPS software to determine the location of theuser210 and a compass device or software to determine what direction themobile device100 is facing in order to identify theobject220. In still further embodiments, themobile device100 does not utilize any GPS data in the identification. In such embodiments,markers230 utilized to identify theobject220 are not location-based.

FIG. 3 illustrates amobile device100, specifically thedisplay130 of themobile device100, wherein thedevice100 has executed anobject recognition application125 and anAR presentation application121 to present within thedisplay130 indications of recognized objects within the live video stream (i.e., surrounding environment250). Themobile device100 is configured to rely onmarkers230 to identifyobjects220 that are associated with product offers, products with extended warranties, new products and the like, and indicate to theuser210 the identifiedobjects220 by displaying anindicator300 on themobile device display130 in conjunction with display of the live video stream. As illustrated, if anobject220 does not have any markers230 (or at leastenough markers230 to yield object identification), theobject220 will be displayed without an associatedindicator300.

Theobject recognition application125 may use any type of means in order to identify desiredobjects220. For instance, theobject recognition application125 may utilize one or more pattern recognition algorithms to analyze objects in theenvironment250 and compare withmarkers230 indata storage171 which may be contained within the mobile device100 (such as within integrated circuit180) or externally on a separate system accessible via the connected network. For example, the pattern recognition algorithms may include decision trees, logistic regression, Bayes classifiers, support vector machines, kernel estimation, perceptrons, clustering algorithms, regression algorithms, categorical sequence labeling algorithms, real-valued sequence labeling algorithms, parsing algorithms, general algorithms for predicting arbitrarily-structured labels such as Bayesian networks and Markov random fields, ensemble learning algorithms such as bootstrap aggregating, boosting, ensemble averaging, combinations thereof, and the like.

Upon identifying anobject220 within the real-time video stream, theAR presentation application121 is configured to superimpose anindicator300 on themobile device display130. Theindicator300 is generally a graphical representation that highlights or outlines theobject220 and may be activatable (i.e., include an embedded link), such that theuser210 may “select” theindicator300 and retrieve information related to the identified object. The information may include any desired information associated with the selected object and may range from basic information to greatly detailed information. In some embodiments, theindicator300 may provide theuser210 with an internet hyperlink to further information on theobject220. The information may include, for example, all types of media, such as text, images, clipart, video clips, movies, or any other type of information desired. In yet other embodiments, theindicator300 information related to the identified object may be visualized by theuser210 without “selecting” theindicator300.

In embodiments in which theindicator300 provides an interactive tab to theuser210, theuser210 may select theindicator300 by any conventional means, e.g., keystroke, touch, voice command or the like, for interaction with themobile device100. For instance, in some embodiments, theuser210 may utilize aninput device140 such as a keyboard to highlight and select theindicator300 in order to retrieve the information. In a particular embodiment, themobile device display130 includes a touch screen that the user may employ to select theindicator300 utilizing the user's finger, a stylus, or the like.

In some embodiments, theindicator300 is not interactive and simply provides information to theuser210 by superimposing theindicator300 onto thedisplay130. For example, in some instances it may be beneficial for theAR presentation application121 to merely identify anobject220, e.g., just identify the object's name/title, give brief information about the object, etc., rather than provide extensive detail that requires interaction with theindicator300. TheAR presentation application121 is capable of being tailored to a user's desired preferences.

Furthermore, theindicator300 may be displayed at any size on themobile device display130. Theindicator300 may be small enough that it is positioned on or next to theobject220 being identified such that theobject220 remains discernible behind theindicator300. Additionally, theindicator300 may be semi-transparent or an outline of theobject220, such that theobject220 remains discernible behind or enclosed by theindicator300. In other embodiments, theindicator300 may be large enough to completely cover theobject220 portrayed on thedisplay130. Indeed, in some embodiments, theindicator300 may cover a majority or the entirety of themobile device display130.

Theuser210 may opt to execute theobject recognition application125 andAR presentation application121 at any desired moment and begin video capture and analysis. However, in some embodiments, theobject recognition application125 andAR presentation application121 includes an “always on” feature in which themobile device100 is continuously capturing video and analyzing theobjects220 within the video stream. In such embodiments, theobject recognition application125 may be configured to alert theuser210 that aparticular object220 has been identified. Theuser210 may set any number of user preferences to tailor the object recognition and AR presentation experience to their needs. For instance, theuser210 may opt to only be alerted if a certainparticular object220 is identified. Additionally, it will be appreciated that the “always on” feature in which video is continuously captured may consume the mobiledevice power source115 more quickly. Thus, in some embodiments, the “always on” feature may disengage if a determined event occurs such aslow power source115, low levels of light for an extended period of time (e.g., such as if themobile device100 is in a user's pocket obstructing a clear view of theenvironment250 from the mobile device100), if themobile device100 remains stationary (thus receiving the same video stream) for an extended period of time, the user sets a certain time of day to disengage, etc. Conversely, if the “always on” feature is disengaged due to the occurrence of such an event, theuser210 may opt for the “always on” feature to re-engage after the duration of the disengaging event (e.g.,power source115 is re-charged, light levels are increased, etc.).

In some embodiments, theuser210 may identifyobjects220 that theobject recognition application125 does not identify and add it to thedata storage171 with desired information in order to be identified and/or displayed in the future. For instance, theuser210 may select anunidentified object220 and enter a name/title and/or any other desired information for theunidentified object220. In such embodiments, theobject recognition application125 may detect/recordcertain markers230 about the object so that the pattern recognition algorithm(s) (or other identification means) may detect theobject220 in the future. Furthermore, in cases where the object information is within thedata storage171, but theobject recognition application125 fails to identify the object220 (e.g., one or more identifying characteristics ormarkers230 of the object has changed since it was added to thedata storage171 or themarker230 simply was not identified), theuser210 may select theobject220 and associate it with anobject220 already stored in thedata storage171. In such cases, theobject recognition application125 may be capable of updating themarkers230 for theobject220 in order to identify theobject220 in future video streams.

In addition, in some embodiments, theuser210 may opt to edit the information or add to the information provided by theindicator300. For instance, theuser210 may opt to include user-specific information about acertain object220 such that the information may be displayed upon a future identification of theobject220. Conversely, in some embodiments, the user may opt to delete or hide anobject220 from being identified and anindicator300 associated therewith being displayed on themobile device display130.

Furthermore, in some instances, anobject220 may include one ormore markers230 identified by theobject recognition application125 that leads theobject recognition application125 to associate anobject220 with more than one objects220 in thedata storage171. In such instances, theuser210 may be presented with multiple candidate identifications and may opt to choose the appropriate identification or input a different identification. The multiple candidates may be presented to theuser210 by any means. For instance, in one embodiment, the candidates are presented to theuser210 as a list wherein the “strongest” candidate is listed first based on reliability of the identification. Upon input by theuser210 identifying theobject220, theobject recognition application125 may “learn” from the input and storeadditional markers230 in order to avoid multiple identification candidates for thesame object220 in future identifications.

Additionally, theobject recognition application125 may utilize other metrics for identification than identification algorithms. For instance, theobject recognition application125 may utilize the user's location, time of day, season, weather, speed of location changes (e.g., walking versus traveling), “busyness” (e.g., how many objects are in motion versus stationary in the video stream), as well any number of other conceivable factors in determining the identification ofobjects220. Moreover, theuser210 may input preferences or other metrics for which theobject recognition application125 may utilize to narrow results of identified objects220.

In some embodiments, theAR presentation application121 may have the ability to gather and report user interactions with displayedindicators300. The data elements gathered and reported may include, but are not limited to, number of offer impressions; time spent “viewing” an offer, product, object or business; number of offers investigated via a selection; number of offers loaded to an electronic wallet and the like. Such user interactions may be reported to any type of entity desired. In one particular embodiment, the user interactions may be reported to a financial institution and the information reported may include customer financial behavior, purchase power/transaction history, and the like.

In various embodiments, information associated with or related to one ormore objects220 that is retrieved for presentation to auser210 via themobile device100 may be permanently or semi-permanently associated with theobject220. In other words, theobject220 may be “tagged” with the information. In some embodiments, a location pointer is associated with anobject220 after information is retrieved regarding theobject220. In this regard, subsequent mobile devices capturing theobject220 for recognition may retrieve the associated information, tags and/or pointers in order to more quickly retrieve information regarding theobject220. In some embodiments, themobile device100 provides theuser210 an opportunity to post messages, links to information or the like and associate such postings with theobject220. Subsequent users may then be presenting such postings when their mobile devices capture and recognize anobject220. In some embodiments, the information gathered through the recognition and information retrieval process may be posted by theuser210 in association with theobject220. Such tags and/or postings may be stored in a predetermined memory and/or database for ease of searching and retrieval.

In an exemplary embodiment, theAR presentation application121 is capable of analyzing the surroundingenvironment250 in search of products with embedded sensorsFIG. 4 illustrates a high-level flow diagram of amethod400 for analyzing the surroundingenvironment250 in search of products with embedded sensors according to an embodiment of the invention.

Atblock410, a video stream of the surroundingenvironment250 is analyzed in search of at least one product with an embedded sensor. As used herein, an “embedded sensor” is a device associated with a product in such a way that the sensors may monitor, obtain, collect, emit, and/or indicate information about the product. In one embodiment, the embedded sensors may include, at least in part, an RFID tag, a chip, a radio signal emitter, an invisible marker, etc. In another embodiment, an embedded tag includes a nanosensor. For example, the nanosensors or microsensors may be configured to measure acceleration, conductivity, electromagnetic field, friction, light, movement, quantity, radiation, sound, stress, temperature, time, vibration, viscosity, weight, or some other measurable physical quantity or characteristic. The sensors may be capable of wireless transmission of such information, either continuously or intermittently. In one embodiment, the sensors may automatically transmit the information, whereas in another embodiment, the sensors may transmit the information in response to being interrogated. The information transmitted from an embedded sensor may include, for instance, “defaults” with the product. As used herein, a “default” may be anything concerning the product that may lead to its replacement or maintenance. For instance, a default may include a food product that has reached its expiration date (i.e., replacement needed) or a shortage in the circuitry of an electronic-based product (i.e., maintenance or repair services needed).

Themobile device100 may be capable of detecting or sensing embedded sensors within products. The detection may utilize anymarker230 as described above in the identification of the product. However, in one embodiment, theonly marker230 required for product identification is the embedded sensors. In such embodiments, generally, the embedded sensor emits a wireless signal which is detectable to theAR presentation application121 of themobile device100.

Block

420 illustrates the step of identifying one or more products within the video stream that has one or more embedded sensors associated therewith. As the video stream is analyzed (block410), theAR presentation application121 may detect an embedded sensors emitting a wireless signal (e.g., an RF signal).

Atblock430, themobile device100 retrieves the information associated with the products from the embedded sensors. In one embodiment, theAR presentation application121 is capable of receiving information from multiple embedded sensors at once. For example, auser210 may utilize theAR presentation application121 to scan the pantry or refrigerator, for instance, and receive information from a plurality of products at once. As noted above, the information may include data concerning the products such that theuser210 may determine what action needs to be taken (e.g., product replacement).

Atblock440, theAR presentation application121 may present information to the user via the mobile device display of the video stream. For instance, aindicator300 may be superimposed onto the video stream on thedisplay130 of themobile device100. Theindicator300 may be interactive. In one embodiment, theindicator300 may include the information transmitted from the embedded sensors explicitly (e.g., amount of product remaining, expiration date, etc.). However, in one embodiment, theAR presentation application121 may present information to theuser210 that is derived from the information received from the embedded sensors. For example, auser210 that utilizes theAR presentation application121 to analyze the products within a refrigerator may opt to have a shopping list automatically generated based on preset preferences that determine when certain products need to be replaced.

In one embodiment, themobile device100 is operated in the “always on” mode to continuously analyze the surroundingenvironment250 to detect product embedded sensors. Thus, in one embodiment, theuser210 actively utilizes themobile device100 in search of products with embedded sensors by viewing themobile device display130 as theuser210 pans around scanning for products. However, in another embodiment, theuser210 passively utilizes themobile device100 in search of predetermined objects. In such embodiments, themobile device100 may simply be affixed to or otherwise carried by theuser210 and themobile device100 simply scans the images captured in search of products with embedded sensors.

Themobile device100 may alert theuser210 to important or critical information associated with one or more products. As used herein, “important” or “critical” information may be defined by theuser210, but will generally include information concerning product defaults or impending product defaults. Theuser210 may opt to input preferences as to when to be alerted of an impending product default such as the quantity of product is approaching a predetermined threshold or the expiration date of a product is approaching. Similarly, as noted above, a product default may include something that is irregular with the product such as a power source malfunction, a drop in efficiency, hardware/software malfunctions, etc. The “alert” to theuser210 may be one or more indicators that appear on themobile device display130. However, when theAR presentation application121 is operated in a passive mode (i.e., theuser210 is not attentive to and watching the video stream being analyzed), it is generally preferable that the alerts be of audible signals, vibration of themobile device100, Short Message Service/text messages, emails or the like which may identify the object, provide access to an offer or direct the user to the video stream (real-time or recorded) for access to the displayedindicators300.

The “product” detectable to theAR presentation application121 will generally include any product that utilizes an embedded sensors capable of emitting a wireless signal. In one embodiment, the product is a food product. In another embodiment, the product is a household item such as a household appliance. In still further embodiments, the product may be an automobile, an electronic device, a non-food consumer product, etc.

In a particular embodiment, theindicator300 displayed to theuser210 is interactive and may present theuser210 with information regarding purchasing the product. For instance, the information may include cost of replacement, estimated time to failure, nearest retailer stocking the product, estimated delivery time, etc. Additionally, theuser210 may be presented with the option to purchase the product. For instance, theindicator300 displayed on themobile device100 may include a link, such as, for example, an internet hyperlink, that gives theuser210 the option to purchase the product.

FIG. 5 illustrates a high-level mixed block and flow diagram of asystem500 for accessing product information from embedded sensors via a video stream captured by amobile device100. It will be understood that thesystem500 illustrated is an exemplary embodiment. As shown, thesystem500 includes auser210, amobile device100, and a financial institution.

As represented byblock505, theuser210 activates theAR presentation application121 of themobile device100. TheAR presentation application121 may be operated in active mode or passive mode as discussed above. Once themobile device100 loads theAR presentation application121, themobile device100 initiates scanning of theenvironment250 to search for the products with embedded sensors, as represented byblock515.

At block520, themobile device100 then may identify a product within the surroundingenvironment250. Upon identifying a product, themobile device100 alerts theuser210 that the product has been identified as shown in block525. The alert may be any way to bring the identification to the user's attention. In a particular embodiment, themobile device display130 may include an indicator and themobile device100 may emit an audible sound and/or vibration or other type of alert as discussed above.

In some embodiments, the information provided by the real-time video stream may be compared to data provided to the system through an API. In this way, the data may be stored in a separate application and be implemented by request from the mobile device and/or server.

At block530, themobile device100 may present information associated with the product to theuser210, and as illustrated atblock535, theuser210 may receive the information associated with the object. The information displayed to the user may range from a simple identification of the object to a large amount of data associated with the object, depending, at least in part, on the sophistication of the embedded sensors.

In a particular embodiment, the information displayed to theuser210 may include product purchasing information. In such embodiments, the user may opt to purchase the product as shown inblock540. Theuser210 may opt to utilize any feasible means in purchasing the product. In some embodiments, the business that sells the product may be capable of accepting online orders for the identified object via the Internet, an intranet or other wireless connection utilizing themobile device100. In a particular embodiment, themobile device100 includes a mobile wallet800 (FIG. 8) and the business is capable of receiving payment vehicle data from the user'smobile device100 via a contactless payment terminal700 (FIGS. 6 and 7) as discussed further below. Thus, as illustrated at block545, themobile device100 may transmit payment data for purchase of the product.

As represented byblock550, a financial institution may monitor and record financial data and/or video image analysis user data associated with the object identification. For instance, the data the financial institution may record includes the amount of time the user reviewed the presented information, whether theuser210 was presented with an option to purchase, whether theuser210 purchased the product, the price of the product, the frequency in which the user utilizes theAR presentation application121 to identify and purchase objects, etc. Such information may be beneficial to the financial institution in determining future business strategies.

Themobile device100 may be equipped to provide theuser210 the ability to transmit payment information directly from themobile device100 to a payment terminal in order to complete a purchase. Referring toFIG. 6, a block diagram illustrating acontactless transaction environment500 configured for making a contactless transaction via amobile device100 is shown. As illustrated, thecontactless transaction environment600 may include amobile device100 operable by auser210 who may be a customer who wishes to make a contactless payment for the identified product. Thecontactless transaction environment600 may also include acontactless terminal700 that may be automated or may be operable by a cashier610. Thecontactless terminal700 may permit auser210 to make a contactless payment with themobile device100.

Of course, theenvironment600 may also include acontact terminal620 that may permit auser210 to make a payment via a contact transaction device such as a payment card that has a magnetic stripe which may be swiped through thecontact terminal620.

Thecontactless transaction environment600 may also include aworkstation640 and aprocessing system650 that are in electronic communication with thecontactless terminal700 via anetwork630, which may be the Internet, an intranet or the like. Theuser interface615 situated on thecontactless terminal700 may be any sort of device, such as light emitting diodes (LEDs) for indicating that payment has been received, invalid payment vehicle, exceeded credit limit, etc.

InFIG. 6, thenetwork630 may include a local area network (LAN), a wide area network (WAN), and/or a global area network (GAN). Thenetwork630 may provide for wireline, wireless, or a combination of wireline and wireless communication between devices in the network. In some embodiments, thenetwork630 includes the Internet. In some embodiments, thenetwork630 may include a wireless telephone network.

FIG. 7 illustrates an embodiment of acontactless terminal700 that is depicted inFIG. 6. Thecontactless terminal700 may include various features, such as anetwork communication interface710, aprocessing device730, atransceiver interface720, and amemory device740 that may include atransceiver application750.

As used with respect to thecontactless terminal700, a “communication interface” may generally include a modem, server, transceiver, and/or other device for communicating with other devices on a network. Thenetwork communication interface710 may be a communication interface having one or more communication devices configured to communicate with one or more other devices in thecontactless transaction environment600, such as themobile device100, theworkstation640, theprocessing system650, other processing systems, data systems, etc.

In one embodiment, thetransceiver interface720 is a separate module that may generally include a transceiver, i.e., one or more antennas and and/or other electronic circuitry, devices, and software, for receiving electronic payment vehicle data when themobile device100 is held close to or “tapped” at thecontactless terminal700. In accordance with embodiments of the invention, the term “tap,” “tapped,” “tapping,” etc. may refer to bringing a mobile device close to or within the proximity of a payment terminal so that information can be communicated wirelessly between the mobile device and the payment terminal using short range wireless transmission technology, such near-field communication (NFC) technology, radio-frequency (RF) technology, or the like. Tapping may include physically tapping the mobile device against an appropriate portion of the payment terminal or it may include only waving or holding the mobile device near an appropriate portion of the payment terminal without making physical contact with the payment terminal. In some embodiments, thetransceiver interface720 is part of thenetwork communication interface710. Furthermore, thetransceiver interface720 may also be used as an interface to send data to themobile device100 when themobile device100 is held close to or tapped at thecontactless terminal700.

An output device for thetransceiver interface720 may include a display that provides instructions regarding the steps for making a contactless transaction. In some embodiments where thecontactless terminal700 requests authentication, such as a signature, the display may also serve as a touchpad input device to input the user's signature via a stylus. Other output devices may include one or more LEDs or an audio speaker, both which may indicate to theuser210 that data has been successfully received from themobile device100. A printer that can print paper receipts may also be incorporated into thecontactless terminal700. Other embodiments of thecontactless terminal700 may carry other input and output devices, such as a mouse, keyboard, button, touchpad, touch screen, microphone, speaker, light, joystick, switch, or the like.

As used with respect to thecontactless terminal700, a “processing device,”730 may generally refer to a device or combination of devices having circuitry used for implementing the communication and/or logic functions of a particular system. For example, aprocessing device730 may include a digital signal processor device, a microprocessor device, and various analog-to-digital converters, digital-to-analog converters, and other support circuits and/or combinations of the foregoing. Control and signal processing functions of the system may be allocated between these processing devices according to their respective capabilities. The processing device may further include functionality to operate one or more software programs based on computer-executable program code thereof, which may be stored in a memory. As the phrase is used herein, a processing device may be “configured to” perform a certain function in a variety of ways, including, for example, by having one or more general-purpose circuits perform the function by executing particular computer-executable program code embodied in computer-readable medium, and/or by having one or more application-specific circuits perform the function. Theprocessing device730 may be configured to use thenetwork communication interface710 and/or thetransceiver interface720 to transmit and/or receive data and/or commands to and/or from the other devices that are visible in thecontactless payment environment600.

As used with respect to thecontactless terminal700, a “memory device” may generally refer to a device or combination of devices that store one or more forms of computer-readable media for storing data and/or computer-executable program code/instructions. For example, in one embodiment, the memory device may include any computer memory that provides an actual or virtual space to temporarily or permanently store data and/or commands provided to the processing device when it carries out its functions described herein. In one embodiment, the memory device stores atransceiver application750. Thetransceiver application750 may work in conjunction with the previously describedtransceiver interface720 to receive electronic payment vehicle data when themobile device100 is held close to or tapped at thecontactless terminal700. In some embodiments, thetransceiver application750 may also be configured to send data to themobile device100 when themobile device100 is held close to or tapped at thepayment terminal700, or potentially provide apower source115 to themobile device100 in the event the primary power source is depleted.

As illustrated inFIG. 6, acontactless terminal200 may be connected to aworkstation640 via thenetwork630. Theworkstation640 may be used by the cashier610 or other personnel to interact with thecontactless terminal700. Theworkstation640 may include various features, such as a network communication interface, a processing device, a user interface, and a memory device.

As used with respect to theworkstation640, a “communication interface” may generally include a modem, server, transceiver, and/or other device for communicating with other devices on a network. The network communication interface may be a communication interface having one or more communication devices configured to communicate with one or more other devices on thenetwork630, such as thecontactless terminal700 and/orcontact terminal620, theprocessing system650, other processing systems, data systems, etc.

As used with respect to theworkstation130, a “processing device” may generally refer to a device or combination of devices having circuitry used for implementing the communication and/or logic functions of a particular system as described above. For example, a processing device may include a digital signal processor device, a microprocessor device, and various analog-to-digital converters, digital-to-analog converters, and other support circuits and/or combinations of the foregoing. Control and signal processing functions of the system may be allocated between these processing devices according to their respective capabilities. The processing device may further include functionality to operate one or more software programs based on computer-executable program code thereof, which may be stored in a memory. As the phrase is used herein, a processing device may be “configured to” perform a certain function in a variety of ways, including, for example, by having one or more general-purpose circuits perform the function by executing particular computer-executable program code embodied in computer-readable medium, and/or by having one or more application-specific circuits perform the function. The processing device may be configured to use a network communication interface and/or the transceiver interface to transmit and/or receive data and/or commands to and/or from the other devices that are visible in thenetwork630.

As used with respect to theworkstation640, a “user interface” may generally include a plurality of interface devices and/or software that allow a user to input commands and data to direct the processing device to execute instructions. For example, the user interface may include a graphical user interface (GUI) or an interface to input computer-executable instructions that direct the processing device to carry out specific functions. The user interface may employ certain input and output devices to input data received from theuser210 or the cashier610 or output data to the user or the cashier610. These input and output devices may include a display, mouse, keyboard, button, touchpad, touch screen, microphone, speaker, light, joystick, switch, and/or other customer input/output device for communicating with one or more customers. As used with respect to theworkstation640, a “memory device” may generally refer to a device or combination of devices that store one or more forms of computer-readable media for storing data and/or computer-executable program code/instructions. For example, in one embodiment, the memory device may include any computer memory that provides an actual or virtual space to temporarily or permanently store data and/or commands provided to the processing device when it carries out its functions described herein.

As indicated above, in some embodiments, theuser210 may opt to utilize themobile device100 to wirelessly transmit payment vehicle data to acontactless terminal700. Typically, the payment vehicle data is stored within themobile device100 or accessible externally through the network. This payment vehicle data is typically contained within a mobile wallet. In accordance with embodiments of the invention, the phrase “mobile wallet” refers to the hardware and/or software in a mobile device that enables the mobile device to be used to make contactless payments at a payment terminal. In accordance with embodiments of the invention, the term “payment vehicle” may refer to an electronic payment vehicle, such as an electronic credit or debit card. The payment vehicle may not be a “card” at all and may instead be account identifying information stored electronically in a mobile device, such as in a cell phone.

Turning toFIG. 8, one embodiment of amobile wallet800 is illustrated. Importantly, themobile wallet800 of the present invention is not limited to the embodiments shown in the figures. Indeed, the manner in which the “menu” ofpayment vehicles810 is presented to the user or the type of additional information stored within themobile wallet800 is not essential to the present invention.

As illustrated, information contained within themobile wallet800 and capable of being transmitted by themobile device100 may include thepayment vehicle type810, the unique payment vehicle account number820 associated with thepayment vehicle810, the name associated with thepayment vehicle830, the payment vehicle'sexpiration date840, the payment vehicle'ssecurity code850, whether the payment vehicle is credit ordebit860 and the default payment vehicle870 for use in transactions.

Thus, methods, systems, computer programs and the like are herein disclosed that provide for using video analysis to process video streams and, more specifically, to access product information from embedded sensors and present information associated with the product to the user, which information may be presented via AR or the like. The methods, apparatuses, systems, and computer program products may additionally provide for alerting the user to important or critical information associated with one or more products. Many of the embodiments herein disclosed leverage financial institution data, which is uniquely specific to financial institution, in providing information to mobile device users in connection with video stream analysis.

While the foregoing disclosure discusses illustrative embodiments, it should be noted that various changes and modifications could be made herein without departing from the scope of the described aspects and/or embodiments as defined by the appended claims. Furthermore, although elements of the described aspects and/or embodiments may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated. Additionally, all or a portion of any embodiment may be utilized with all or a portion of any other embodiment, unless stated otherwise. In this regard, the term “processor” and “processing device” are terms that are intended to be used interchangeably herein and features and functionality assigned to a processor or processing device of one embodiment are intended to be applicable to or utilized with all or a portion of any other embodiment, unless stated otherwise.

While certain exemplary embodiments have been described and shown in the accompanying drawings, it is to be understood that such embodiments are merely illustrative of and not restrictive on the broad invention, and that this invention not be limited to the specific constructions and arrangements shown and described, since various other changes, combinations, omissions, modifications and substitutions, in addition to those set forth in the above paragraphs, are possible. Those skilled in the art will appreciate that various adaptations and modifications of the just described embodiments can be configured without departing from the scope and spirit of the invention. Therefore, it is to be understood that, within the scope of the appended claims, the invention may be practiced other than as specifically described herein.

The systems, methods, computer program products, etc. described herein, may be utilized or combined with any other suitable AR-related application. Non-limiting examples of other suitable AR-related applications include those described in the following U.S. Provisional Patent Applications, the entirety of each of which is incorporated herein by reference:


U.S.
Provisional
Serial No.	Filed On	Title

61/450,213	Mar. 8, 2011	Real-Time Video Image Analysis
		Applications for Commerce Activity
61/478,409	Apr. 22, 2011	Presenting Offers on a Mobile
		Communication Device
61/478,412	Apr. 22, 2011	Real-Time Video Analysis for Reward
		Offers
61/478,394	Apr. 22, 2011	Real-Time Video Image Analysis for
		Providing Targeted Offers
61/478,399	Apr. 22, 2011	Real-Time Analysis Involving Real
		Estate Listings
61/478,402	Apr. 22, 2011	Real-Time Video Image Analysis for an
		Appropriate Payment Account
61/478,405	Apr. 22, 2011	Presenting Investment-Related Information
		on a Mobile Communication Device
61/478,393	Apr. 22, 2011	Real-Time Image Analysis for Medical
		Savings Plans
61/478,397	Apr. 22, 2011	Providing Data Associated With
		Relationships Between Individuals and
		Images
61/478,408	Apr. 22, 2011	Identifying Predetermined Objects in a
		Video Stream Captured by a Mobile
		Device
61/478,400	Apr. 22, 2011	Real-Time Image Analysis for
		Providing Health Related Information
61/478,403	Apr. 22, 2011	Providing Social Impact Information
		Associated With Identified Products or
		Businesses
61/478,407	Apr. 22, 2011	Providing Information Associated With
		an Identified Representation of an Object
61/478,415	Apr. 22, 2011	Providing Location Identification of
		Associated Individuals Based on
		Identifying the Individuals in
		Conjunction With a Live Video Stream
61/478,419	Apr. 22, 2011	Vehicle Recognition
61/478,417	Apr. 22, 2011	Collective Network of Augmented
		Reality Users
61/508,985	Jul. 18, 2011	Providing Information Regarding
		Medical Conditions
61/508,946	Jul. 18, 2011	Dynamically Identifying Individuals
		From a Captured Image
61/508,980	Jul. 18, 2011	Providing Affinity Program Information
61/508,821	Jul. 18, 2011	Providing Information Regarding Sports
		Movements
61/508,850	Jul. 18, 2011	Assessing Environmental Characteristics
		in a Video Stream Captured by a Mobile
		Device
61/508,966	Jul. 18, 2011	Real-Time Video Image Analysis for
		Providing Virtual Landscaping
61/508,969	Jul. 18, 2011	Real-Time Video Image Analysis for
		Providing Virtual Interior Design
61/508,971	Jul. 18, 2011	Real-Time Video Image Analysis for
		Providing Deepening Customer Value
61/508,764	Jul. 18, 2011	Conducting Financial Transactions Based
		on Identification of Individuals in an
		Augmented Reality Environment
61/508,973	Jul. 18, 2011	Real-Time Video Image Analysis for
		Providing Security
61/508,976	Jul. 18, 2011	Providing Retail Shopping Assistance
61/508,944	Jul. 18, 2011	Recognizing Financial Document Images